Skip to main content
Glama
velesnitski

yt-mcp

by velesnitski

get_sprint_board

Get issues from an agile board grouped by column. Specify board name, sprint, or instance to view task progress.

Instructions

Get issues on an agile board grouped by column.

Args: board_name: Board name, ID, or URL sprint: Sprint name or 'current' (default: 'current') instance: YouTrack instance (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sprintNocurrent
instanceNo
board_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. While the action is clearly a read operation (fetching issues), it does not explicitly state read-only behavior, nor does it mention any side effects, limitations, permissions, or response characteristics (e.g., pagination, sorting). The description is too minimal.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and the purpose is front-loaded in the first sentence. However, the 'Args' section redundantly repeats parameter information already in the schema. While concise, it sacrifices informative depth. It earns a 3 as it is adequately sized but could pack more useful content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description need not detail return values, but it should still explain how the tool works (e.g., grouping by column, what constitutes a column). It also fails to address parameter semantics sufficiently. The description is lean but leaves ambiguity about expected inputs and behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It lists parameters with defaults and optionality (e.g., board_name required, sprint default 'current'), but omits details like format, allowed values, or encoding. For example, board_name could be a name, ID, or URL, but no clarification is given. This adds minimal value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Get' and the resource 'issues on an agile board grouped by column', providing a specific action and result. It distinguishes from sibling tools like get_agile_board (which likely returns board metadata) and get_active_sprint_issues (which may not group by column).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, no criteria for selection, and no when-not-to-use information. It simply states what it does without any contextual recommendations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/velesnitski/yt-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server